Data Lead Engineer
Role details
Job location
Tech stack
Job description
As aSenior Data Lead Engineeryou will drive the evolution of our cloud-basedData, AI, and BI platforms. You will play a key technical leadership role, shaping our lakehouse architecture, enabling AI/ML use cases, and guiding engineering best practices across teams. Main tasks and accountabilities will be: Lead the Data, AI & BI roadmap for GTB, ensuring scalability, resilience, security, and cost efficiency. Design and evolve our data lakehouse architecture. Define and build domain-oriented data products aligned with data mesh principles (data-as-a-product, SLAs, contracts, domain ownership). Build and maintain data ingestion, ETL and transformation pipelines including CDC-based and event-driven ingestion. Implement and enforce data governance, data rules, data quality, data normalization/cleaning and guardrails. Enable AI/ML and LLM use cases (training, feature engineering, RAG, fine-tuning, guardrails, monitoring).
Requirements
5+ years inData Engineering, Data Platforms, AI Engineering or Advanced Analytics, ideally in large or regulated environments. Proven experience designing and building cloud data platforms and data lakehouse architectures (preferably AWS). AWS experience:S3, Lake Formation, Glue (Jobs, Crawlers, Data Wrangler), EMR. Hands-on experience with Databricks or EMR for large-scale data transformation. Strong background in data ingestion andETL. Experience with CDC pipelines and event-driven architectures for ingesting operational/transactional data. Experience integrating on-premise data lakes with cloud platforms in hybrid architectures. Experience enablingAI/MLsolutions in production environments. Involvement in data governance, data quality, data rules and guardrails. If you would like to know more, don't hesitate to apply and we'll get in touch to fill you in detail. We are waiting for you!